activity
20162026
most citedLarge Language Models for Code: Security Hardening and Adversarial Testing

134 citations · 776 across the 124 of their papers we have counts for

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Showing cs.SEShow all

6 papers · 1 filter

cs.SE2026

TestSuiteBench: Coding Agents Struggle to Generate Strong Test Suites from Specifications

Kazuki Egashira, Niels Mündler-Sasahara, Mark Niklas Müller +1

Coding agents are increasingly used to create large software projects. While code-generation benchmarks have scaled accordingly to full applications, test-generation benchmarks rem…

cs.SE2026

Coding Agents Don't Know When to Act

Thibaud Gloaguen, Niels Mündler, Mark Müller +2

Coding agents are increasingly deployed to autonomously maintain software, including to resolve user-reported issues: a bug report comes in and the agent creates a patch to address…

cs.SE2026

CodeTaste: Can LLMs Generate Human-Level Code Refactorings?

Alex Thillen, Niels Mündler, Veselin Raychev +1

LLM coding agents can generate working code, but their solutions often accumulate complexity, duplication, and architectural debt. Human developers address such issues through refa…

cs.SE2026

Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?

Thibaud Gloaguen, Niels Mündler-Sasahara, Niels Mündler +4

A widespread practice in software development is to tailor coding agents to repositories using context files, such as AGENTS.md. Although this practice is strongly encouraged by ag…

cs.SE2025

Automated Benchmark Generation for Repository-Level Coding Tasks

Konstantinos Vergopoulos, Mark Niklas Müller, Martin Vechev

Code Agent development is an extremely active research area, where a reliable performance metric is critical for tracking progress and guiding new developments. This demand is unde…

cs.SE2024★ 2 cited

SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents

Niels Mündler, Mark Niklas Müller, Jingxuan He +1

Rigorous software testing is crucial for developing and maintaining high-quality code, making automated test generation a promising avenue for both improving software quality and b…